Derivatives
Every curve has a slope that keeps changing as you move along it, and every moving object has a speed that keeps changing as time passes. The derivative is the single tool that captures both: it takes a function and produces a new function whose value at any point is the instantaneous rate of change there — the slope of the tangent line if is a graph, the instantaneous velocity if is a position. The derivative is built directly from a limit, so it inherits all the precision of limits while finally letting you answer a question limits alone cannot: not just "what does approach near " but "how fast is changing right at ." This section covers the formal definition, differentiation from first principles, the sum, product and quotient rules, and the standard derivatives of polynomial and trigonometric functions — exactly the CBSE Class 11 scope, stopping short of exponential, logarithmic and inverse trigonometric derivatives, which belong to Class 12.
The derivative is the instantaneous rate of change of at , computable directly from this limit or, faster, from the sum, product and quotient rules applied to a handful of standard results.
The core idea
From average rate to instantaneous rate. The average rate of change of between and is the familiar slope-of-a-chord expression . This is exact but describes an interval, not a single point. Shrinking toward turns that chord into a tangent line touching the curve at exactly one point, and the limiting value of the slope is the derivative:
where: is the derivative of at (also written or ), is a small increment in that is never actually set to zero but only driven toward it, and the limit must exist for to be called differentiable at . Computing this way is called differentiating from first principles or ab initio.
Two readings of the same number. Geometrically, is the slope of the tangent to at that point — positive where the curve rises, negative where it falls, zero at a flat point. Physically, if is the position of a particle at time , is its instantaneous velocity — the speed a speedometer would show at that exact instant, not averaged over a stretch of time. Both readings describe the same limiting number; only the meaning of (a position on a graph, or a moment in time) changes with the context.
Differentiability is not automatic. A function can fail to have a derivative at a point even where it is perfectly well defined there — the limit in the definition simply may not exist. This happens, for instance, at a sharp corner on a graph, where approaching from the left and from the right gives two different limiting slopes, so no single tangent line is well defined. At this level it is enough to know that "differentiable at " is a real condition worth checking, not something every function automatically satisfies; a full treatment of continuity and differentiability, with left-hand and right-hand derivatives, belongs to Class 12.
Algebra of derivatives. If and are differentiable, the derivative distributes over sums and differences, and follows fixed patterns for products and quotients:
where: and are the separate derivatives of and ; note the product rule is not , and the quotient rule's numerator order matters since subtraction is not commutative.
Standard derivatives. At this level only polynomial and trigonometric functions are built from first principles and then reused as building blocks:
where: is any real exponent and is a fixed constant. These four results themselves come from the first-principles limit combined with two standard limits proved earlier in the chapter, and — so nothing here is assumed without justification, only compressed for speed.
The goal is to compute the derivative of a concrete polynomial, , directly from the limit definition rather than by quoting the power rule, so that the four-stage pattern — expand, subtract, divide by , then let — is fully visible and can be reused on any polynomial or trigonometric function in this chapter.
Step 1. Write down the first-principles limit for this particular : , with and still to be expanded.
Step 2. Expand , by squaring the binomial and distributing the .
Step 3. Form the difference ; the and terms cancel exactly, leaving only terms carrying a factor of .
Step 4. Divide by , which is valid since means approaches zero without ever equalling it during the limiting process: .
Step 5. Let in this simplified expression: , since the term simply vanishes in the limit. The result, , matches what the sum rule and standard results give instantly: . First principles and the shortcut rules always agree — the rules are just the first-principles calculation done once and for all, then reused.
Worked example
Find for , and use it to find the slope of the tangent to at ; then find the derivative of using the product rule.
Step 1. From the derivation above, for every . Substituting : . So the tangent to at has slope .
Step 2. For , identify the two factors for the product rule: and , with (the derivative of itself) and (a standard result).
Step 3. Apply : .
Final answer: with tangent slope at ; and .
Competitive stretch
As a quick check on , evaluate at : . This is consistent, since on both sides of near the origin (a negative makes negative too, so the product stays non-negative), meaning behaves like it has a minimum there — a horizontal tangent, matching .
Common traps
- Stopping at and calling it "the derivative" — this expression is only the average rate of change until the limit is actually taken.
- Applying the product rule as (multiplying the two derivatives together) instead of the correct .
- Getting the quotient rule's numerator order wrong, or forgetting the denominator — since subtraction is not commutative, and are not the same thing.
- Reaching for the chain rule or trying to differentiate , , or inverse trigonometric functions — all of these are Class 12 material; this chapter's scope is polynomial and trigonometric functions built with sum, product and quotient rules only.
Ask the tutor: want another function differentiated from first principles, side by side with the shortcut-rule version, to see exactly where the two methods meet?
Why can we not just set h = 0 directly in the first-principles formula?
Because has in the denominator, and setting directly gives , an undefined expression, not a number. The whole point of the limit is that we simplify the fraction algebraically first — expanding and cancelling common factors of — until the in the denominator disappears, and only then is it safe to let in what remains. That is exactly why Step 4 in the derivation divides by before Step 5 takes the limit, never the other way round.
How do I know whether to use the product rule or the quotient rule on a given function?
Look at how the two pieces are combined. If the function is one expression multiplied by another, like or , use the product rule, . If it is one expression divided by another, like or , use the quotient rule, . A quick way to check afterward: the product rule always produces a sum of two terms of the same "size" as the original, while the quotient rule always produces a fraction with in the denominator.
Is the derivative the same thing as the slope of the curve?
At a specific point, yes — evaluated at that point equals the slope of the tangent line to there, which is the closest sensible meaning of "the slope of the curve" at a single point (a curve, unlike a line, does not have one slope everywhere). But as a whole is a function, giving a different slope value at every , so "the derivative" and "the slope at " are related but not identical ideas — the derivative is the full slope-producing machine, and a slope value is just one output of it.